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      "metadata": {
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      "source": [
        "<a href=\"https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TimesFM/Quick_inference_with_Google'sTimesFM_on_a_CSV_file.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "source": [
        "# Inference with Google's TimesFM model for time series forecasting\n",
        "\n",
        "In this notebook, we will be testing Google's [TimesFM](i) (Time Series Foundation Model) for the task of time-series forecasting. Given it is now available in the [Transformers library](https://huggingface.co/docs/transformers/model_doc/timesfm), we can use it in just a few lines of code!\n",
        "\n",
        "TimesFM is very similar to a GPT model, except it is trained to predict the next values in a time-series, as opposed to the next text token. The model is pre-trained on a large collection of time-series collected by Google. This involves both synthetic data as well as 100 billion actual time-points from various domains like [Google Trends](https://trends.google.com/trends/) and [Wikipedia Page views](https://meta.wikimedia.org/wiki/Research:Page_view).\n",
        "\n",
        "After pre-training, we can use it to predict new values for a given time-series. This is called \"zero-shot prediction\" since we don't update the weights of the model, we just use it out-of-the-box for making predictions on new, unseen data, much like prompting a large language model (LLM) or vision-language model (VLM). Interestingly, the authors claim that it outperforms models like DeepAR which are explicitly trained on time-series.\n",
        "\n",
        "The [blog post](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/) is a great explainer for knowing how TimesFM works. The idea is to \"patchfiy\" a time-series into smaller pieces which serve as the \"tokens\".\n",
        "\n",
        "- Docs: https://huggingface.co/docs/transformers/model_doc/timesfm\n",
        "- Github repository: https://github.com/google-research/timesfm.\n",
        "\n",
        "## Set-up environment\n",
        "\n",
        "Let's start by installing 🤗 Transformers. Make sure to set \"runtime\" to \"GPU\" for faster computation."
      ],
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.2/40.2 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m491.5/491.5 kB\u001b[0m \u001b[31m31.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.5/10.5 MB\u001b[0m \u001b[31m89.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.6/193.6 kB\u001b[0m \u001b[31m15.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "gcsfs 2025.3.2 requires fsspec==2025.3.2, but you have fsspec 2025.3.0 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cublas-cu12==12.4.5.8; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cublas-cu12 12.5.3.2 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cuda-cupti-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-cupti-cu12 12.5.82 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-nvrtc-cu12 12.5.82 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cuda-runtime-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-runtime-cu12 12.5.82 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cudnn-cu12==9.1.0.70; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cudnn-cu12 9.3.0.75 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cufft-cu12==11.2.1.3; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cufft-cu12 11.2.3.61 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-curand-cu12==10.3.5.147; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-curand-cu12 10.3.6.82 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cusolver-cu12==11.6.1.9; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusolver-cu12 11.6.3.83 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-cusparse-cu12==12.3.1.170; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusparse-cu12 12.5.1.3 which is incompatible.\n",
            "torch 2.6.0+cu124 requires nvidia-nvjitlink-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-nvjitlink-cu12 12.5.82 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "!pip install -q --upgrade datasets transformers"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load model\n",
        "\n",
        "Next, we load a pre-trained TimesFM model from the hub. In this case we load a model with 500M parameters.\n",
        "\n",
        "We also specify some additional parameters, namely:\n",
        "- load the model in bfloat16 precision (this reduces the memory usage)\n",
        "- use the [\"sdpa\"](https://docs.pytorch.org/tutorials/intermediate/scaled_dot_product_attention_tutorial.html) version of attention, for faster attention computation\n",
        "- put it on the GPU, if available."
      ],
      "metadata": {
        "id": "fMMciw-NKk-k"
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        "import torch\n",
        "from transformers import TimesFmModelForPrediction\n",
        "\n",
        "model = TimesFmModelForPrediction.from_pretrained(\n",
        "    \"google/timesfm-2.0-500m-pytorch\",\n",
        "    attn_implementation=\"sdpa\",\n",
        "    device_map=\"cuda\" if torch.cuda.is_available() else None\n",
        ")"
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          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:104: UserWarning: \n",
            "Error while fetching `HF_TOKEN` secret value from your vault: 'Requesting secret HF_TOKEN timed out. Secrets can only be fetched when running from the Colab UI.'.\n",
            "You are not authenticated with the Hugging Face Hub in this notebook.\n",
            "If the error persists, please let us know by opening an issue on GitHub (https://github.com/huggingface/huggingface_hub/issues/new).\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/692 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "32273ec4d649460ca037db935a2cca43"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/2.00G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9b67741b85934eb8865fffe54795473b"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Note that this TimesFM model has been pre-trained on context lengths up to 2048 timepoints and any horizon lengths. By default, the model will predict 128 values into the future. This can be observed in the model's configuration:"
      ],
      "metadata": {
        "id": "p40I9uvfLJZp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Context length:\", model.config.context_length)\n",
        "print(\"Horizon (prediction) length:\", model.config.horizon_length)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ET6BV4MzLJLI",
        "outputId": "a8a6582b-3611-4ee8-e560-bba929315878"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Context length: 2048\n",
            "Horizon (prediction) length: 128\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The model will then split up time series into smaller \"patches\" based on its patch length. Note that the model's patch length (32) is a number that is a divisor of the model's context length (2048)."
      ],
      "metadata": {
        "id": "bKKLY_VNLmau"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Patch length:\", model.config.patch_length)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x_8rUl5VLmVQ",
        "outputId": "0301c80a-b72b-4466-b060-5a66274da724"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Patch length: 32\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load dataset\n",
        "\n",
        "Let's load a dataset containing time series values on which we want to make predictions. For the sake of demonstration, we've collected a simple \"electricity production\" dataset which we made available [here](https://huggingface.co/datasets/huggingface/electricity-production).\n",
        "\n",
        "Note that you can easily load your own CSV (or other formatted) data as shown [here](https://huggingface.co/docs/datasets/en/loading#csv)."
      ],
      "metadata": {
        "id": "q9YNyFJMMopy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "dataset = load_dataset(\"huggingface/electricity-production\", split=\"train\")"
      ],
      "metadata": {
        "id": "Wdso3yD7MeB_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
            "32ea6d11ba044bd29dd50b983db7004a",
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            "1f7444491ab84ebda960b46b76ceaacb",
            "7075a95b94f4481696b8ad1333a8c98d",
            "377e148140f44e309c7a219e05ce71bf",
            "82df294c4dcd44008c38e77fde34b5f0",
            "ec4506a1e7f64eb39e0e4397e109ac0c",
            "c0ad928c91db4b7f85a4b4f147d73b99",
            "134d1749de744d009f7d71cefb0c8b3e",
            "b511bd83b7794c508f7a8c8d73095417",
            "a7f7359103c741ffa5d5341ad424f84e",
            "47ead10a53664e938bd21c76367c6b0c",
            "856545d0358247e0b768a480d35e06e5",
            "840eef304a1c4dff8d27aae2abe45c66",
            "bb27917b144d42b6bfcf2c59501f5150",
            "7eae68998e934062bad75086e47c2b0c",
            "3584c35ad72943a6bfe0558c70e694da",
            "73d2064c389e482e818389d0d24e8da0",
            "9da865d843fc49db93d9c80d6437363a"
          ]
        },
        "outputId": "216267bc-2857-4871-abd0-287f7da0d6d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md:   0%|          | 0.00/547 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "32ea6d11ba044bd29dd50b983db7004a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "train-00000-of-00001.parquet:   0%|          | 0.00/6.75k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "82663d83123d482cb3547c3a3ff090be"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split:   0%|          | 0/397 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "134d1749de744d009f7d71cefb0c8b3e"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "As can be seen, the dataset consists of 397 values of electricity production, from 1985 to 2018:"
      ],
      "metadata": {
        "id": "2tlyNf-6R8kR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(dataset)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YMAxwywwR7oY",
        "outputId": "1593c370-f7ac-41f6-a919-f49bb838f621"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset({\n",
            "    features: ['DATE', 'IPG2211A2N'],\n",
            "    num_rows: 397\n",
            "})\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(dataset[0])\n",
        "print(dataset[-1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zGgVb0uUSHAO",
        "outputId": "bbb74b25-9d1a-4f7c-aa90-07dd3a456765"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'DATE': '1/1/1985', 'IPG2211A2N': 72.5052}\n",
            "{'DATE': '1/1/2018', 'IPG2211A2N': 129.4048}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's split up the dataset into:\n",
        "- a dataset which we will use as \"context\" or \"prompt\"\n",
        "- another dataset which we can use for testing, i.e. compare the model's predictions to the ground truth values."
      ],
      "metadata": {
        "id": "X967dKP6SZ3u"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = dataset.train_test_split(test_size=0.1, shuffle=False) # shuffle is False as to not mix the temporal ordering\n",
        "prompt_dataset = dataset[\"train\"]\n",
        "test_dataset = dataset[\"test\"] # last 0.1 of the time steps for testing"
      ],
      "metadata": {
        "id": "hKr4Yh_vStqu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Predict\n",
        "\n"
      ],
      "metadata": {
        "id": "MPSLehrRMqBP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to make a prediction, we need to turn the data into `past_values` which is a PyTorch tensor of shape (batch_size, number_of_values), in our case (1, 357). This fits into the model's context length of 2048.\n",
        "\n",
        "Next to that, we also provide the `frequence_id` argument which indicates the frequency of the values. Refer to the [README](https://github.com/google-research/timesfm/tree/5950ef0653e4ff142a80906a08432cc457a2ace9?tab=readme-ov-file#perform-inference) for a detailed explanation on this parameter. Here we use \"1: medium frequency time series. We recommend using this for weekly and monthly data\".\n"
      ],
      "metadata": {
        "id": "uLttII-FLCft"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model.eval() # note: from_pretrained already sets the model in evaluation mode, but doesn't hurt to do it twice\n",
        "past_values = torch.tensor(prompt_dataset['IPG2211A2N']).unsqueeze(0).to(device=model.device)\n",
        "frequency_id = [[1]] # as the freq is Monthly\n",
        "\n",
        "print(past_values.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PAqpRD8cJ1gO",
        "outputId": "c29d6035-abc8-47f0-f0ad-e5923d03f24f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 357])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        " Next we can use the model to make predictions on a set of data. Since the dataset is a single time series we can just call the model on it (perform a single forward pass)."
      ],
      "metadata": {
        "id": "9zWGp_NCJpFZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with torch.no_grad():\n",
        "  outputs = model(past_values=past_values, freq=frequency_id)"
      ],
      "metadata": {
        "id": "Jb3gnhUWJnPw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "The model outputs both \"mean predictions\" (which are point forecasts) as well as \"full_predictions\" (which are probabilistic forecasts). By probabilisticm, we mean that the model outputs 10 so-called quantiles. The first quantile is a value for which the model thinks 10% of the distribution has a lower value. The last 90% quantile is a value for which the model thinks 90% of the distribution has a value below it."
      ],
      "metadata": {
        "id": "QCRqJRjbMiGj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs.keys())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "loe_has-M9VL",
        "outputId": "e3e82f0a-eafb-4c15-96e0-0a4c39000da9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "odict_keys(['last_hidden_state', 'mean_predictions', 'full_predictions'])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "As the model has a horizon length of 128, we get 128 predicted values:"
      ],
      "metadata": {
        "id": "vLCC04Y-NBpf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs.mean_predictions.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N3A2uCtJMa66",
        "outputId": "9c511a4d-ea1b-4fd3-a7cc-dc3c818a4785"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 128])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(outputs.full_predictions.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8aU7YjJRNIV-",
        "outputId": "7652bfc7-437f-4804-fa0b-56cc3afbf9b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 128, 10])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Plot predictions\n",
        "\n",
        "Next we can plot the model's predictions alongside the ground truth values, as we already know the future values.\n",
        "\n",
        "Below we use the model's point predictions."
      ],
      "metadata": {
        "id": "UNgQ9V0HPH-U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# Convert the datasets to pandas DataFrames for easier plotting\n",
        "prompt_df = pd.DataFrame(prompt_dataset)\n",
        "test_df = pd.DataFrame(test_dataset)\n",
        "\n",
        "# Convert the 'DATE' column to datetime objects\n",
        "prompt_df['DATE'] = pd.to_datetime(prompt_df['DATE'])\n",
        "test_df['DATE'] = pd.to_datetime(test_df['DATE'])\n",
        "\n",
        "# Get the last 40 timesteps of the prompt dataset\n",
        "last_40_prompt = prompt_df.tail(40)\n",
        "\n",
        "# Get the predicted values and convert to numpy for plotting\n",
        "predicted_values = outputs.mean_predictions[0].cpu().numpy()\n",
        "\n",
        "# Get the ground truth values for the test set\n",
        "ground_truth_test = test_df['IPG2211A2N']\n",
        "\n",
        "# Create the plot\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Plot the last 40 timesteps of the prompt dataset (ground truth)\n",
        "plt.plot(last_40_prompt['DATE'], last_40_prompt['IPG2211A2N'], label='Prompt Data (Ground Truth)', color='blue')\n",
        "\n",
        "# Plot the test dataset (ground truth)\n",
        "plt.plot(test_df['DATE'], ground_truth_test, label='Test Data (Ground Truth)', color='green')\n",
        "\n",
        "# Plot the predictions\n",
        "# We need to align the predictions with the test set dates\n",
        "plt.plot(test_df['DATE'], predicted_values[:len(test_df)], label='Mean Predictions', color='red', linestyle='--')\n",
        "\n",
        "plt.xlabel('DATE')\n",
        "plt.ylabel('IPG2211A2N')\n",
        "plt.title('Time Series Forecasting: Ground Truth vs. Mean Predictions')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "yP2G3w396YWC",
        "outputId": "9706a73d-99c6-4bdb-c9ea-3e4f80a26516"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Besides that, we can also plot the probabilistic values (quantiles):"
      ],
      "metadata": {
        "id": "AdgPm5dgUJoQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "# Convert the datasets to pandas DataFrames for easier plotting\n",
        "prompt_df = pd.DataFrame(prompt_dataset)\n",
        "test_df = pd.DataFrame(test_dataset)\n",
        "\n",
        "# Convert the 'DATE' column to datetime objects\n",
        "prompt_df['DATE'] = pd.to_datetime(prompt_df['DATE'])\n",
        "test_df['DATE'] = pd.to_datetime(test_df['DATE'])\n",
        "\n",
        "# Get the last 40 timesteps of the prompt dataset\n",
        "last_40_prompt = prompt_df.tail(40)\n",
        "\n",
        "# Get the full predictions and convert to numpy for plotting\n",
        "full_predictions = outputs.full_predictions[0].cpu().numpy() # Shape (num_timesteps, num_quantiles)\n",
        "\n",
        "# Get the ground truth values for the test set\n",
        "ground_truth_test = test_df['IPG2211A2N']\n",
        "\n",
        "# Define the quantiles\n",
        "quantiles = np.arange(0.1, 1.0, 0.1)\n",
        "\n",
        "# Create the plot\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Plot the last 40 timesteps of the prompt dataset (ground truth)\n",
        "plt.plot(last_40_prompt['DATE'], last_40_prompt['IPG2211A2N'], label='Prompt Data (Ground Truth)', color='blue')\n",
        "\n",
        "# Plot the test dataset (ground truth)\n",
        "plt.plot(test_df['DATE'], ground_truth_test, label='Test Data (Ground Truth)', color='green')\n",
        "\n",
        "# Plot the quantile predictions\n",
        "for i, quantile in enumerate(quantiles):\n",
        "    plt.plot(test_df['DATE'], full_predictions[:len(test_df), i], label=f'Quantile {quantile:.1f}', linestyle='--', alpha=0.7)\n",
        "\n",
        "plt.xlabel('DATE')\n",
        "plt.ylabel('IPG2211A2N')\n",
        "plt.title('Time Series Forecasting: Ground Truth vs. Quantile Predictions')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "Q6ocks7x77cf",
        "outputId": "9be714ed-a69d-43ec-cca4-4500022e844e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Compute MSE\n",
        "\n",
        "We can compute the mean-squared-error (MSE) using sklearn:"
      ],
      "metadata": {
        "id": "QsbboKbpT-ZC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "\n",
        "# Calculate the Mean Squared Error\n",
        "mse = mean_squared_error(ground_truth_test, predicted_values[:len(test_df)])\n",
        "\n",
        "print(f\"Mean Squared Error (MSE): {mse}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hBEGL-sT8hT-",
        "outputId": "cd890697-d5c2-4f50-926e-d43c065481ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Squared Error (MSE): 9.80680858733991\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "SCTlpaXc-U04"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}